Sentence examples similar to functions of agent from inspiring English sources

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I introduce another economy that has, compared to the no-tax economy, equal utility functions of agents (u_i(cdot )), equal impatience factors (beta _i), and an equal (pre-tax) distribution of payoffs of financial assets (mathbf {X}).

Let (U_{i}(a_{i},a_{-i})) be the utility function of agent i given the action profile (a=(a_{i},a_{-i})), where (a_{-i}) stands for the action chosen by all agents except for i.

We study the resource dependent assignment problem (RDAP), for which the cost of assigning agent j to task i is a multiplication of task i's cost parameter by a cost function of agent j, which is a convex function of the amount of resource allocated for the agent to execute his task.

Intelligence is both a function of agent diversity and the extent of versatility and plasticity of the relationships shared by these agents.

The amount of cost to develop functions instead of agent will be increased.

You describe scientists who have "provided the information required by drug designers" to block the lethal function of agents like anthrax.

If combined in a single utility function of agents, and if one distinguishes between the roles of interest groups and governmental actors, however, these mechanisms lead to plausible discursive structures.

We consider a general scheme to construct Bayesian incentive-compatible mechanisms using a suitable 'variable mechanism parametrization.' The key idea is to perturb a given direct mechanism, which might not be truth revealing, introducing sufficient variability as a function of agents' announcements to generate incentives for truthful revelation.

Despite evident beneficial effects of TZDs on β-cell function, the use of agents in this class has now declined owing to safety concerns (38, 39).

Moreover, the algorithm only needs the cost functions of the agent itself, which can greatly protect the privacy of other agents.

The distributed optimization objective is not only to drive the agents to reach a consensus but also to cooperatively minimize the sum of the objective functions of each agent in finite time.

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